Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision

25 February 2022

Papers citing "Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision"

6 / 6 papers shown

Title
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling Shuqi He Jun Zhuang Ding Wang Jun Song AAML 30 0 0 13 Aug 2024
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback Yiqing Wu Ruobing Xie Zhao Zhang Xu-Yao Zhang Fuzhen Zhuang Leyu Lin Zhanhui Kang Yongjun Xu 20 2 0 24 May 2024
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 14 3 0 25 Oct 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 8 46 0 21 Apr 2022
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 186 913 0 02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018